| 甲状腺功能分类系统智能化初探 |
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| 引用本文： | 舒柏华,叶维新,梁勇慧. 甲状腺功能分类系统智能化初探[J]. 华中科技大学学报(医学版), 1991, 0(1) |
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| 作者姓名： | 舒柏华 叶维新 梁勇慧 |
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| 作者单位： | 同济医科大学实验医学研究中心核医学研究室(舒柏华，叶维新)，武汉能源研究所(梁勇慧) |
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| 摘 要： | 本文建立了计算机甲状腺功能分类学习系统。将病人的症状、检查结果及专家的诊断结果按要求输入计算机,该机能自动地学习专家经验。随着病例的增加,其经验愈接近专家的诊断水平。最后可直接用于诊断疾病。试验表明,该系统具有较强的学习功能,学习方法简单,计算工作量较小。
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| 关 键 词： | 人工智能 数学 甲状腺 诊断 计算机辅助 |
Preliminary Research of the Thyroid Gland Function Classification System Intellectualization |
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| Shu Baihua,Ye Weixin. Preliminary Research of the Thyroid Gland Function Classification System Intellectualization[J]. Journal of Huazhong University of Science and Technology(Health Sciences), 1991, 0(1) |
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| Authors: | Shu Baihua Ye Weixin |
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| Affiliation: | Shu Baihua,Ye WeixinDepartment of Nuclear Medicine,Research Center of Experimental Medicine,Tongji Medical University, WuhanLiang Yonghui Wuhan Energy Sources Institute,Wuhan |
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| Abstract: | A computer learning system of the thyroid gland function classification is successfully set up in the present study. If patients' symptoms, test results and experts' diagnosis are inputted to computer as required, it can automatically learn the experience from experts, with the increasing number of sick cases,the computer functions closer to experts' diagnosis level. As a result, the computer can directly be used to diagnose the disease. Our experimental results show that the system performs a proper function in learning. Moreover, its learning method is simple and its work load for calculation is small. |
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| Keywords: | artificial intelligence mathematics thyroid gland diagnosis computer assisted |
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